hex.schemas

Class StackedEnsembleV99.StackedEnsembleParametersV99

java.lang.Object

water.Iced

water.api.Schema<I,S>

water.api.schemas3.SchemaV3<P,S>

water.api.schemas3.ModelParametersSchemaV3<StackedEnsembleModel.StackedEnsembleParameters,StackedEnsembleV99.StackedEnsembleParametersV99>

hex.schemas.StackedEnsembleV99.StackedEnsembleParametersV99

All Implemented Interfaces:

java.io.Externalizable, java.io.Serializable, java.lang.Cloneable, water.Freezable

Enclosing class:

StackedEnsembleV99

public static final class StackedEnsembleV99.StackedEnsembleParametersV99
extends water.api.schemas3.ModelParametersSchemaV3<StackedEnsembleModel.StackedEnsembleParameters,StackedEnsembleV99.StackedEnsembleParametersV99>

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	StackedEnsembleV99.StackedEnsembleParametersV99.AlgorithmValuesProvider

Nested classes/interfaces inherited from class water.api.schemas3.SchemaV3

water.api.schemas3.SchemaV3.Meta

Nested classes/interfaces inherited from class water.api.Schema

water.api.Schema.AutoParseable

Field Summary

Fields

Modifier and Type	Field and Description
water.api.schemas3.KeyV3[]	base_models
water.api.schemas3.KeyV3.FrameKeyV3	blending_frame
static java.lang.String[]	fields
boolean	keep_levelone_frame
Metalearner.Algorithm	metalearner_algorithm
hex.Model.Parameters.FoldAssignmentScheme	metalearner_fold_assignment
water.api.schemas3.FrameV3.ColSpecifierV3	metalearner_fold_column
int	metalearner_nfolds
java.lang.String	metalearner_params
StackedEnsembleModel.StackedEnsembleParameters.MetalearnerTransform	metalearner_transform
long	score_training_samples
long	seed

Fields inherited from class water.api.schemas3.ModelParametersSchemaV3

auc_type, categorical_encoding, checkpoint, custom_distribution_func, custom_metric_func, distribution, export_checkpoints_dir, fold_assignment, fold_column, gainslift_bins, huber_alpha, ignore_const_cols, ignored_columns, keep_cross_validation_fold_assignment, keep_cross_validation_models, keep_cross_validation_predictions, max_categorical_levels, max_runtime_secs, model_id, nfolds, offset_column, parallelize_cross_validation, quantile_alpha, response_column, score_each_iteration, stopping_metric, stopping_rounds, stopping_tolerance, training_frame, tweedie_power, validation_frame, weights_column

Fields inherited from class water.api.schemas3.SchemaV3

__meta

Constructor Summary

Constructors

Constructor and Description
StackedEnsembleParametersV99()

Method Summary

Modifier and Type	Method and Description
StackedEnsembleV99.StackedEnsembleParametersV99	fillFromImpl(StackedEnsembleModel.StackedEnsembleParameters impl)
StackedEnsembleModel.StackedEnsembleParameters	fillImpl(StackedEnsembleModel.StackedEnsembleParameters impl)

Methods inherited from class water.api.schemas3.ModelParametersSchemaV3

append_field_arrays, extractDeclaredApiParameters, fields, getAdditionalParameters, writeParametersJSON

Methods inherited from class water.api.schemas3.SchemaV3

writeJSON

Methods inherited from class water.api.Schema

createAndFillImpl, createImpl, extractVersionFromSchemaName, fillFromAny, fillFromBody, fillFromImpl, fillFromImpl, fillFromParms, fillFromParms, fillFromParms, fillImpl, getImplClass, getImplClass, getSchemaName, getSchemaType, getSchemaVersion, init_meta, markdown, markdown, newInstance, newInstance, setField, setSchemaType_doNotCall

Methods inherited from class water.Iced

asBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonBytes, toJsonString, write, writeExternal

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

fields

public static java.lang.String[] fields

base_models

@API(level=critical,
     direction=INOUT,
     help="List of models or grids (or their ids) to ensemble/stack together. Grids are expanded to individual models. If not using blending frame, then models must have been cross-validated using nfolds > 1, and folds must be identical across models.",
     required=true)
public water.api.schemas3.KeyV3[] base_models

metalearner_algorithm

@API(level=critical,
     direction=INOUT,
     valuesProvider=StackedEnsembleV99.StackedEnsembleParametersV99.AlgorithmValuesProvider.class,
     help="Type of algorithm to use as the metalearner. Options include \'AUTO\' (GLM with non negative weights; if validation_frame is present, a lambda search is performed), \'deeplearning\' (Deep Learning with default parameters), \'drf\' (Random Forest with default parameters), \'gbm\' (GBM with default parameters), \'glm\' (GLM with default parameters), \'naivebayes\' (NaiveBayes with default parameters), or \'xgboost\' (if available, XGBoost with default parameters).")
public Metalearner.Algorithm metalearner_algorithm

metalearner_nfolds

@API(level=critical,
     direction=INOUT,
     help="Number of folds for K-fold cross-validation of the metalearner algorithm (0 to disable or >= 2).")
public int metalearner_nfolds

metalearner_fold_assignment

@API(level=secondary,
     direction=INOUT,
     values={"AUTO","Random","Modulo","Stratified"},
     help="Cross-validation fold assignment scheme for metalearner cross-validation.  Defaults to AUTO (which is currently set to Random). The \'Stratified\' option will stratify the folds based on the response variable, for classification problems.")
public hex.Model.Parameters.FoldAssignmentScheme metalearner_fold_assignment

metalearner_fold_column

@API(level=secondary,
     direction=INOUT,
     is_member_of_frames="training_frame",
     is_mutually_exclusive_with={"ignored_columns","response_column"},
     help="Column with cross-validation fold index assignment per observation for cross-validation of the metalearner.")
public water.api.schemas3.FrameV3.ColSpecifierV3 metalearner_fold_column

metalearner_transform

@API(level=critical,
     direction=INOUT,
     help="Transformation used for the level one frame.",
     values={"NONE","Logit"})
public StackedEnsembleModel.StackedEnsembleParameters.MetalearnerTransform metalearner_transform

keep_levelone_frame

@API(level=secondary,
     help="Keep level one frame used for metalearner training.")
public boolean keep_levelone_frame

metalearner_params

@API(help="Parameters for metalearner algorithm",
     direction=INOUT)
public java.lang.String metalearner_params

blending_frame

@API(help="Frame used to compute the predictions that serve as the training frame for the metalearner (triggers blending mode if provided)",
     direction=INOUT)
public water.api.schemas3.KeyV3.FrameKeyV3 blending_frame

seed

@API(help="Seed for random numbers; passed through to the metalearner algorithm. Defaults to -1 (time-based random number)",
     gridable=true)
public long seed

score_training_samples

@API(help="Specify the number of training set samples for scoring. The value must be >= 0. To use all training samples, enter 0.",
     level=secondary,
     direction=INOUT)
public long score_training_samples

Constructor Detail

StackedEnsembleParametersV99

public StackedEnsembleParametersV99()

Method Detail

fillFromImpl

public StackedEnsembleV99.StackedEnsembleParametersV99 fillFromImpl(StackedEnsembleModel.StackedEnsembleParameters impl)

Overrides:

fillFromImpl in class water.api.schemas3.ModelParametersSchemaV3<StackedEnsembleModel.StackedEnsembleParameters,StackedEnsembleV99.StackedEnsembleParametersV99>

fillImpl

public StackedEnsembleModel.StackedEnsembleParameters fillImpl(StackedEnsembleModel.StackedEnsembleParameters impl)

Overrides:

fillImpl in class water.api.schemas3.ModelParametersSchemaV3<StackedEnsembleModel.StackedEnsembleParameters,StackedEnsembleV99.StackedEnsembleParametersV99>